• Streamlined high-velocity sensor data processing via the design and implementation of robust data pipelines and storage mechanisms

• Conducted extensive benchmark tests on large-scale time series data across databases, delivering pivotal insights for data management

• Leveraged PCA, dimensionality reduction, and correlation analyses, unveiling intricate trends and driving hypothesis verification

• Deployed ML models on high-volume, high-velocity time series data, effectively enhancing the predictive accuracy and the understanding of bioreactor processes

• Delivered a range of teaching and assessment activities for CSE 572 : Data Mining

• Introduced students to machine learning fundamentals such as supervised and unsupervised learning and reinforcement learning